nips 208 visual question answering 导读
Overcoming Language Priors in Visual Question Answering with Adversarial Regularization Modern Visual Question Answering (VQA) models have been shown to rely heavily on superficial correlations betwee
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相关文章
- 1. 《Visual Question Generation as Dual Task of Visual Question Answering》阅读笔记
- 2. 《iVQA: Inverse Visual Question Answering》读书笔记
- 3. 论文阅读：FVQA: Fact-based Visual Question Answering
- 4. Visual Question Answering with Memory-Augmented Networks
- 5. 关于Visual Question Answering Eval
- 6. 论文解读：Hierarchical Question-Image Co-Attention for Visual Question Answering
- 7. 阅读笔记（Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding)
- 8. 论文解读：From Pixels to Objects: Cubic Visual Attention for Visual Question Answering
- 9. 论文阅读 Question Answering
- 10. RUBi: Reducing Unimodal Biases in Visual Question Answering